What is Klu?
Klu is an AI sales simulation and role-playing tool designed for frontline sales reps. It requires no team procurement or managerial approval—individual users can start practicing immediately after registering. By leveraging real sales recordings, it generates customized AI buyers covering the full spectrum of sales scenarios, from cold calls and discovery conversations to price objections, competitor comparisons, and advancing next steps. After each practice session, it offers concrete, actionable suggestions—for instance, “Before presenting your solution, first ask the customer which parts of their current process take the most time”—and allows instant retries to reinforce effective scripts.
Key features
Supports uploading real sales recordings (in MP3, WAV, WEBM, or other formats; single file ≤50 MB, ≤30 minutes). The AI automatically transcribes the audio and creates a personalized buyer persona, replicating the customer’s authentic context and potential objections.
After each role-play session, it delivers precise feedback based on the user’s actual speech—for example, pointing out that “after the customer mentioned a budget freeze, you failed to ask for specific details about why the CFO story was missing,” along with better script examples and recommendations for focusing on key areas in the next round.
Use cases and audience
Ideal for frontline sales reps, especially independent practitioners who need to practice critical skills like cold calling, discovery-based questioning, and objection handling.
- Practice opening lines for cold calls, explaining relevance, and securing permission to continue the conversation.
- Practice discovery-based questioning to understand the customer’s current situation before making a pitch.
- Practice responding to competitors’ objections, gaining insight into customer satisfaction and conversion concerns.
Users can input speech directly (speaking sales scripts in real time), upload audio files (webm/m4a/mp4/mp3/wav, up to 50 MB and 30 minutes long), or provide written descriptions of the call scenario they wish to practice—including information on ICP, pricing, competitors, and more.
The AI buyer responds in real-time via voice, and after each role-play session, structured feedback is provided, including identification of conversational issues, actionable improvement suggestions, and prompts for retrying key phrases. Session review data is also available, such as breakdowns of speaking time, number of questions asked, and completion rates for handling objections.
Frequently asked questions
Can I practice cold calling for free?
Sure. You can enjoy a 3-day free trial, which includes 2 role-playing sessions, each lasting up to 5 minutes, perfect for practicing cold-call opening scripts or handling common objections.
How does Klu differ from Hyperbound or Second Nature?
Hyperbound and Second Nature are designed for sales teams and typically require sales demos and seat-based subscriptions; Klu is tailored for individual frontline sales reps—ready to use upon registration, with no need for manager or procurement involvement.
How to use
- 01
Choose a pre-set scenario—such as cold calling, discovery-based questioning, or objection handling—or upload a real sales recording, or describe the call content you’d like to practice.
- 02
Speak your sales script aloud into the AI buyer in your browser; the AI will respond in real time and raise counterarguments.
- 03
Receive personalized coaching feedback based on your actual speech, pinpointing exactly which sentences caused you to lose the prospect.
- 04
Adjust your script according to the feedback and immediately retry the same scenario.
Pricing and availability
Enjoy a 3-day free trial; thereafter, it’s $19/month, including 12 role-playing sessions per month. Subscribe monthly and cancel anytime; you can start your trial without providing a credit card.
- Pricing source
- https://klu.so/
- Pricing last updated
- 2026-10-29
Prices and limits may change. Check the official website for current terms.
Official website & sources
Updated on 2026-10-29
